• DocumentCode
    1618072
  • Title

    Green´s function based 2-D MOSFET modeling for random dopant fluctuation

  • Author

    Yong Hyeon Shin ; Jung Han Kang ; Yun, Ilgu

  • Author_Institution
    Dept. of Electr. Electron. Eng., Yonsei Univ., Seoul, South Korea
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Random dopant fluctuation (RDF) in MOSFET has been an issue recently due to the scaling down of CMOS process. Impedance field method has mainly used as a solution to predict effects of RDF previously. In addition, a new model, which converts a Poisson´s equation into a Green´s function based form, estimates inhomogeneous term of differential equation through charge distribution. In this paper, a Green´s function based 2-D MOSFET model is proposed. The model starts from the Poisson´s equation to obtain the initial conditions and then sum of Green´s function based formula and Laplace equation provide voltage distribution, charge distribution, and drive current as the modeling results. We also verify its effectiveness through the comparison with TCAD simulation results.
  • Keywords
    Green´s function methods; Laplace equations; MOSFET; Poisson equation; random processes; semiconductor device models; technology CAD (electronics); voltage distribution; 2D MOSFET modeling; CMOS process; Green´s function; Laplace equation; Poisson equation; RDF effect prediction; TCAD simulation; charge distribution; differential equation; drive current; impedance field method; random dopant fluctuation; voltage distribution; Equations; Fluctuations; MOSFET; Mathematical model; Resource description framework; Semiconductor device modeling; Semiconductor process modeling; Green´s function; Poisson´s equation; Random dopant fluctuation (RDF); nano-scale MOSFET Modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electron Devices and Solid State Circuit (EDSSC), 2012 IEEE International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-1-4673-5694-7
  • Type

    conf

  • DOI
    10.1109/EDSSC.2012.6482794
  • Filename
    6482794